# Finansfunksjoner del en

## ZTEST

Calculates the probability of observing a z-statistic greater than the one computed based on a sample.

### Syntaks

`ZTEST(Data; mu; Sigma)`

Data is the given sample, drawn from a normally distributed population.

mu is the known mean of the population.

Sigma (optional) is the known standard deviation of the population. If omitted, the standard deviation of the given sample is used.

## Z.TEST

Calculates the probability of observing a z-statistic greater than the one computed based on a sample.

### Syntaks

`Z.TEST(Data; mu; Sigma)`

Data is the given sample, drawn from a normally distributed population.

mu is the known mean of the population.

Sigma (optional) is the known standard deviation of the population. If omitted, the standard deviation of the given sample is used.

### Eksempel

`=Z.TEST(A2:A20; 9; 2)` returns the result of a z-test on a sample A2:A20 drawn from a population with known mean 9 and known standard deviation 2.

## TRIMMEAN

Gir gjennomsnittet av et utvalg uten å ta med marginalverdiene.

### Syntaks

`TRIMMEAN(Data; Alpha)`

Tekst er teksten som tilsvarer et romertall.

Alpha is the percentage of the marginal data that will not be taken into consideration.

### Eksempel

`=TRIMMEAN(A1:A50; 0.1)` calculates the mean value of numbers in A1:A50, without taking into consideration the 5 percent of the values representing the highest values and the 5 percent of the values representing the lowest ones. The percentage numbers refer to the amount of the untrimmed mean value, not to the number of summands.

## HYPGEOM.DIST

Gir den hypergeometriske fordelingen.

### Syntaks

`HYPGEOM.DIST(X; NSample; Successes; NPopulation; Cumulative)`

X is the number of results achieved in the random sample.

NSample is the size of the random sample.

Successes is the number of possible results in the total population.

NPopulation is the size of the total population.

Cumulative : 0 or False calculates the probability density function. Other values or True calculates the cumulative distribution function.

### Eksempler

`=HYPGEOM.DIST(2;2;90;100;0)` yields 0.8090909091. If 90 out of 100 pieces of buttered toast fall from the table and hit the floor with the buttered side first, then if 2 pieces of buttered toast are dropped from the table, the probability is 81%, that both will strike buttered side first.

`=HYPGEOM.DIST(2;2;90;100;1)` yields 1.

## HYPGEOMDIST

Gir den hypergeometriske fordelinga.

### Syntaks

`HYPGEOMDIST(X; NSample; Successes; NPopulation)`

X is the number of results achieved in the random sample.

NSample is the size of the random sample.

Successes is the number of possible results in the total population.

NPopulation is the size of the total population.

### Eksempel

`=HYPGEOMDIST(2;2;90;100)` yields 0.81. If 90 out of 100 pieces of buttered toast fall from the table and hit the floor with the buttered side first, then if 2 pieces of buttered toast are dropped from the table, the probability is 81%, that both will strike buttered side first.

## HARMEAN

Gir det harmoniske gjennomsnittet av en datamengde.

### Syntaks

`SUMMER(Tall1; Tall2; ...; Tall30)`

Number1,Number2,...Number30 are up to 30 values or ranges, that can be used to calculate the harmonic mean.

### Eksempel

`=HARMEAN(23;46;69)` = 37.64. The harmonic mean of this random sample is thus 37.64

## GEOMEAN

Gir den geometriske middelverdien til et utvalg.

### Syntaks

`PRODUKT(Tall1; Tall2; ...; Tall30)`

Number1, Number2,...Number30 are numeric arguments or ranges that represent a random sample.

### Eksempel

`=GEOMEAN(23;46;69)` = 41.79. The geometric mean value of this random sample is therefore 41.79.

## GAUSS

Gir standard kumulativ normalfordeling.

It is GAUSS(x)=NORMSDIST(x)-0.5

### Syntaks

`ABS(Tall)`

Number is the value for which the value of the standard normal distribution is to be calculated.

### Eksempel

`ERPARTALL_ADD(5)` gir 0.

`ERPARTALL_ADD(5)` gir 0.

## GAMMALN.PRECISE

Gir den naturlige logaritmen til gammafunksjonen: G(x).

### Syntaks

`GAMMALN.PRECISE(Number)`

Number is the value for which the natural logarithm of the Gamma function is to be calculated.

### Eksempel

`=RADER(A10:B12)` gir 3.

## GAMMALN

Gir den naturlige logaritmen til gammafunksjonen: G(x).

### Syntaks

`GAMMALN(Number)`

Number is the value for which the natural logarithm of the Gamma function is to be calculated.

### Eksempel

`=RADER(A10:B12)` gir 3.

## GAMMAINV

Returns the inverse of the Gamma cumulative distribution GAMMADIST. This function allows you to search for variables with different distribution.

### Syntaks

`GAMMAINV(Number; Alpha; Beta)`

Number is the probability value for which the inverse Gamma distribution is to be calculated.

Alpha is the parameter Alpha of the Gamma distribution.

Beta is the parameter Beta of the Gamma distribution.

### Eksempel

`=ELLER(A; B)` gir SANN

## GAMMA.INV

Returns the inverse of the Gamma cumulative distribution GAMMADIST. This function allows you to search for variables with different distribution.

This function is identical to GAMMAINV and was introduced for interoperability with other office suites.

### Syntaks

`GAMMA.INV(Number; Alpha; Beta)`

Number is the probability value for which the inverse Gamma distribution is to be calculated.

Alpha is the parameter Alpha of the Gamma distribution.

Beta is the parameter Beta of the Gamma distribution.

### Eksempel

`=ELLER(A; B)` gir SANN

## GAMMA.DIST

Gir verdiene til en gammafordeling.

The inverse function is GAMMAINV or GAMMA.INV.

This function is identical to GAMMADIST and was introduced for interoperability with other office suites.

### Syntaks

`GAMMA.DIST(Number; Alpha; Beta; C)`

Number is the value for which the Gamma distribution is to be calculated.

Alpha is the parameter Alpha of the Gamma distribution.

Beta is the parameter Beta of the Gamma distribution

C (optional) = 0 or False calculates the density function C = 1 or True calculates the distribution.

### Eksempel

`=RADER(A10:B12)` gir 3.

Gir verdiene til en gammafordeling.

The inverse function is GAMMAINV.

### Syntaks

`GAMMADIST(Number; Alpha; Beta; C)`

Number is the value for which the Gamma distribution is to be calculated.

Alpha is the parameter Alpha of the Gamma distribution.

Beta is the parameter Beta of the Gamma distribution

C (optional) = 0 or False calculates the density function C = 1 or True calculates the distribution.

### Eksempel

`=RADER(A10:B12)` gir 3.

## GAMMA

Returns the Gamma function value. Note that GAMMAINV is not the inverse of GAMMA, but of GAMMADIST.

### Syntaks

Number is the number for which the Gamma function value is to be calculated.

## FTEST

Gir resultatet av en F-test.

### Syntaks

`FTEST(Data1; Data2)`

Sluttdato er den andre datoen

Sluttdato er den andre datoen

### Eksempel

`=FTEST(A1:A30;B1:B12)` calculates whether the two data sets are different in their variance and returns the probability that both sets could have come from the same total population.

## FISHERINV

Gir den inversen av Fisher-transformasjonen for x, og lager en funksjon som ligger nært opptil normalfordelinga.

### Syntaks

`FISHERINV(Number)`

Number is the value that is to undergo reverse-transformation.

### Eksempel

`=ELLER(A; B)` gir SANN

## FISHER

Gir Fisher-transformasjonen for x, og lager en funksjon som ligger nært opptil normalfordelinga.

### Syntaks

`FISHER(Number)`

Tekst er teksten som tilsvarer et romertall.

### Eksempel

`=ELLER(A; B)` gir SANN

## FINV

Gir inversverdien til F-sannsynlighetsfordelinga. F-fordelinga brukes til F-tester for å angi relasjonen mellom to forskjellige datasett.

### Syntaks

`FINV(Number; DegreesFreedom1; DegreesFreedom2)`

Number is probability value for which the inverse F distribution is to be calculated.

DegreesFreedom1 is the number of degrees of freedom in the numerator of the F distribution.

DegreesFreedom2 is the number of degrees of freedom in the denominator of the F distribution.

### Eksempel

`=ELLER(A; B)` gir SANN

## F.TEST

Gir resultatet av en F-test.

### Syntaks

`F.TEST(Data1; Data2)`

Sluttdato er den andre datoen

Sluttdato er den andre datoen

### Eksempel

`=F.TEST(A1:A30;B1:B12)` calculates whether the two data sets are different in their variance and returns the probability that both sets could have come from the same total population.

## F.INV.RT

Returnerer inversverdien av høyresiden til F-fordelingen.

### Syntaks

`F.INV.RT(Number; DegreesFreedom1; DegreesFreedom2)`

Number is probability value for which the inverse F distribution is to be calculated.

DegreesFreedom1 is the number of degrees of freedom in the numerator of the F distribution.

DegreesFreedom2 is the number of degrees of freedom in the denominator of the F distribution.

### Eksempel

`=ELLER(A; B)` gir SANN

## F.INV

Gir inversverdien til F-sannsynlighetsfordelinga. F-fordelinga brukes til F-tester for å angi relasjonen mellom to forskjellige datasett.

### Syntaks

`F.INV(Number; DegreesFreedom1; DegreesFreedom2)`

Number is probability value for which the inverse F distribution is to be calculated.

DegreesFreedom1 is the number of degrees of freedom in the numerator of the F distribution.

DegreesFreedom2 is the number of degrees of freedom in the denominator of the F distribution.

### Eksempel

`=ELLER(A; B)` gir SANN

## F.DIST.RT

Regnar ut verdiene på høyresiden i en F-fordeling.

### Syntaks

`F.DIST.RT(Number; DegreesFreedom1; DegreesFreedom2)`

Number is the value for which the F distribution is to be calculated.

degreesFreedom1 is the degrees of freedom in the numerator in the F distribution.

degreesFreedom2 is the degrees of freedom in the denominator in the F distribution.

### Eksempel

`=ELLER(A; B)` gir SANN

## F.DIST

Regnar ut verdiene i en venstredels F-fordeling.

### Syntaks

`F.DIST(Number; DegreesFreedom1; DegreesFreedom2; Cumulative)`

Number is the value for which the F distribution is to be calculated.

degreesFreedom1 is the degrees of freedom in the numerator in the F distribution.

degreesFreedom2 is the degrees of freedom in the denominator in the F distribution.

Cumulative = 0 or False calculates the density function Cumulative = 1 or True calculates the distribution.

### Eksempel

`=ELLER(A; B)` gir SANN

`=ELLER(A; B)` gir SANN

## FDIST

Beregn verdiene i en F-fordeling.

### Syntaks

`FDIST(Number; DegreesFreedom1; DegreesFreedom2)`

Number is the value for which the F distribution is to be calculated.

degreesFreedom1 is the degrees of freedom in the numerator in the F distribution.

degreesFreedom2 is the degrees of freedom in the denominator in the F distribution.

### Eksempel

`=ELLER(A; B)` gir SANN

## Related Topics

Functions by Category